To fulfill that need, past researches studied the possibility of explaining single instance prediction of a model, e.g. [1]} and [2]}. However, these methods may be specifically designed for a single model type as in [3]}, which limits their use. Some methods are designed to be applicable for all types of models and are more and more used in the industry Clinical app that predicts an aggravation risk for a patient hospitalized with Covid-19. Attribute influences are computed with SHAP. https://scorecovid.kaduceo.com/ but suffer from a lack of precision [4]}. Yet overcoming this lack of precision can make their algorithms very long to apply [5]}. This means the field of single instance prediction explanation needs to be developed further, so as to make it usable by everyone.
